Artificial Neural Networks (ANN) as a tool offers opportunities for modeling the inherent complexity and uncertainty associated with socio-environmental systems. This study draws on New Zealand ski fields (multiple locations) ...

In this study, the Duration of Load (DOL) for crack initiation and propagation, crack speed, and load carrying capacity were investigated for three Rates of Loading (ROL) and four sizes of notched wood beams using high-speed ...

This paper presents our co-operative hybrid algorithm for fault diagnosis in power transmission networks. When a fault occurs in a transmission network, it must be identified and eliminated as soon as possible. Since control ...

Meat quality is a subject of growing interest. The meat industry, in response to consumer demand for products of consistent quality, is placing more and more emphasis on quality assurance issues. Tenderness is an important ...

This paper presents a lamb carcass classification system based on image and texture analyses together with multivariate statistical techniques (principal component analysis, cluster analysis and discriminant function ...

In this study, the ability of neural network models for lamb carcass classification was compared with a multivariate statistical technique with respect to the classification accuracy. The lamb carcass classification system ...

Most environmental and biological phenomena, such as underground water flow and pollution and properties of wood, exhibit variability which can not be successfully simulated using deterministic approaches because many ...

An artificial neural network (ANN) approach was used to model the fuel consumption of wheat production. This study was conducted over 18,316 hectares of irrigated and dry land wheat fields in Canterbury in the 2007-2008 ...

As a result of constantly growing consumer expectations for meat quality, the meat industry is placing more and more emphasis on quality assurance issues. Fat content in meat influences some important meat quality ...